Jasper Linmans
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #23,569 of 35,345 by trust here, #12,761 by citations
- Computer Vision and Pattern Recognition — 16 citations into it; #14,525 of 21,575 by trust here, #8,831 by citations
- Model Architectures — 7 citations into it
Whom Jasper Linmans trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Taco Cohen
- Diederik P. Kingma
- Max Welling
- Geoffrey E. Hinton
- Jimmy Ba
- Gao Huang
- Olaf Ronneberger
- Maurice Weiler
- Alex Krizhevsky
- Geert J. S. Litjens
Who trusts Jasper Linmans overall
- Erik J. Bekkers
- David W. Romero
- Taco Cohen
- Daniel E. Worrall
- Tianbao Yang
- Eu Wern Teh
- Ozan Ciga
- Simon Graham
- Max Welling
- Jingyi Zhang
Papers from Jasper Linmans's perspective
Ordered by how strongly the researchers Jasper Linmans trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Rotation Equivariant CNNs for Digital Pathology (2018) — 735 citations
- Improved Semantic Segmentation for Histopathology using Rotation Equivariant Convolutional Networks (2018) — 17 citations